Top infrastructure priorities for the CTO in 2017

By: Sapna Nauhria


In this highly competitive era of digitalization, the chief technology officer (CTO) plays a crucial role: to create a vision and prepare the enterprise for disruptions. The CTO keeps in mind current infrastructure priorities to secure, store and meet the demands of next-generation services. Here are a few of the top areas where CTOs will be putting their focus this year.

Secure transactions

Today’s highly connected economy is making businesses more susceptible to cyberthreats. Juniper Research suggested that cybercrime will cost the global economy more than $2 trillion by 2019. Thus, businesses are looking for secure transactions to build the trust of their customers. Market leaders are achieving end-to-end security and reliability by:

  • Encrypting the entirety of data, without degradation of application performance and cryptography.
  • Preventing inside threats by eliminating unauthorized access to sensitive data and services.
  • Going decades for mean time between infrastructure failures and taking advantage of high data availability for continuous service uptime and data protection.

Blockchain, for example, is emerging as a trusted foundation for secure transactions by helping businesses ingrain security and reliability into their organizational IT environments. This not only keeps cybercriminals out but also alleviates risk once they’re in. Blockchain also protects data from internal intrusions, including noncompliant access by administrators through multiple levels of permissions, Medium notes.

Artificial intelligence and data

Organizations are embedding intelligence into every business process and every customer experience, but the existing IT infrastructure is not designed to accommodate these new data-infused workloads in real time and at hyperscale. Customers are expecting customized services through precise anticipation of their needs. Successful organizations are applying acceleration to data and workloads through:

  • Intelligent infrastructure designed for data and workload management.
  • Placement of data at the right place with the right cost.
  • Architectures and processes designed around data to gain competitive advantage.

For example, Linux servers and high-performance flash storage technologies are designed for complex analytics and machine learning to deliver the fastest insights possible. According to an IBM case study, flash storage is engineered to deliver the highest performance that scales as the data grow, and software-defined management helps optimize placement of data for faster access.

Cloud integration

The growth of cloud computing is impacting enterprises’ approach towards infrastructure. CTOs are struggling to decide which applications to migrate to the cloud without compromising performance or security. They want to integrate the cloud environments with noncloud infrastructure to share data seamlessly and deliver new business applications more quickly. Most global business leaders believe a substantial part of their revenue is at risk from technology shifts — and the pace of innovation is now their top challenge. Therefore, market leaders are developing fast, flexible and open cloud platforms through open APIs in order to:

  • Accelerate response times of service performance and development cycles at scale.
  • Simplify and integrate data management and data protection infrastructure across traditional and new applications, unifying silos to deliver data without borders with built-in hybrid cloud support.

One example of this is secure container technology, which offers seamless portability of data and applications across boundaries, in the way hypervisors do within a single enterprise system. To learn more, check out this IBM Systems video.

Lastly, when choosing a service provider or a solution, the three key factors CTOs need to pay attention to are seamless transition, operation security and effortless migration to the cloud.

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About The Author

Sapna Nauhria

Marketing Manager, IBM

Sapna Nauhria is a Marketing Manager and is responsible for buyer centric marketing for IBM Systems. She is involved in deep research on roles, challenges, and priorities for IT leaders.